Skill audit report
LinkedIn 岗位发现与匹配排序。根据用户给的一份种子 JD 和简历,提取目标岗位画像,自动生成多组 LinkedIn Jobs 搜索,采集、去重并按证据给岗位分层,最终输出可直接投递的 shortlist。用户说‘帮我找工作’、‘在 LinkedIn 搜适合我的岗位’、‘找相似职位’、‘根据简历推荐岗位’、‘job search’、‘find jobs like this’时必须使用。只搜索和推荐,不自动投递、不代替用户登录、不绕过验证码。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
375 GitHub stars
Stars/forks activity
WARN57
375 stars, 37 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
8d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
credential or environment access
Install availability
PASS92
npx skills add yanliudesign/offer-toolkit-skill --skill linkedin-job-search-skill
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN60
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/yanliudesign/offer-toolkit-skill/tree/main/job-search-skill
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add yanliudesign/offer-toolkit-skill --skill linkedin-job-search-skill
Repository
88
https://github.com/yanliudesign/offer-toolkit-skill/tree/main/job-search-skill
License
86
MIT
Maintenance
100
8d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
60
secrets or environment access, filesystem or document access
Stars/forks activity
57
375 stars, 37 forks; issue activity unavailable in current metadata
Adoption
68
375 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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